{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T20:46:39Z","timestamp":1777927599267,"version":"3.51.4"},"reference-count":51,"publisher":"SAGE Publications","issue":"1","license":[{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2022,4,14]],"date-time":"2022-04-14T00:00:00Z","timestamp":1649894400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Neurotrauma Reports"],"published-print":{"date-parts":[[2022,9,1]]},"abstract":"<jats:p>\n                    The present study aims to evaluate the accuracy of the prognostic discrimination and prediction of the short-term mortality of the Marshall computed tomography (CT) classification and Rotterdam and Helsinki CT scores in a cohort of TBI patients from a low- to middle-income country. This is a\n                    <jats:italic toggle=\"yes\">post hoc<\/jats:italic>\n                    analysis of a previously conducted prospective cohort study conducted in a university-associated, tertiary-level hospital that serves a population of &gt;12 million in Brazil. Marshall CT class, Rotterdam and Helsinki scores, and their components were evaluated in the prediction of 14-day and in-hospital mortality using Nagelkerk's pseudo-\n                    <jats:italic toggle=\"yes\">R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    and area under the receiver operating characteristic curve. Multi-variate regression was performed using known outcome predictors (age, Glasgow Coma Scale, pupil response, hypoxia, hypotension, and hemoglobin values) to evaluate the increase in variance explained when adding each of the CT classification systems. Four hundred forty-seven patients were included. Mean age of the patient cohort was 40 (standard deviation, 17.83) years, and 85.5% were male. Marshall CT class was the least accurate model, showing pseudo-\n                    <jats:italic toggle=\"yes\">R<\/jats:italic>\n                    <jats:sup>2<\/jats:sup>\n                    values equal to 0.122 for 14-day mortality and 0.057 for in-hospital mortality, whereas Rotterdam CT scores were 0.245 and 0.194 and Helsinki CT scores were 0.264 and 0.229. The AUC confirms the best prediction of the Rotterdam and Helsinki CT scores regarding the Marshall CT class, which presented greater discriminative ability. When associated with known outcome predictors, Marshall CT class and Rotterdam and Helsinki CT scores showed an increase in the explained variance of 2%, 13.4%, and 21.6%, respectively. In this study, Rotterdam and Helsinki scores were more accurate models in predicting short-term mortality. The study denotes a contribution to the process of external validation of the scores and may collaborate with the best risk stratification for patients with this important pathology.\n                  <\/jats:p>","DOI":"10.1089\/neur.2021.0067","type":"journal-article","created":{"date-parts":[[2022,4,15]],"date-time":"2022-04-15T10:34:41Z","timestamp":1650018881000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":11,"title":["Evaluation of Computed Tomography Scoring Systems in the Prediction of Short-Term Mortality in Traumatic Brain Injury Patients from a Low- to Middle-Income Country"],"prefix":"10.1177","volume":"3","author":[{"given":"Matheus","family":"Rodrigues de Souza","sequence":"first","affiliation":[{"name":"Department of Medicine, Mato Grosso State University, C\u00e1ceres, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mayra","family":"Aparecida C\u00f4rtes","sequence":"additional","affiliation":[{"name":"Department of Medicine, Mato Grosso State University, C\u00e1ceres, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gustavo","family":"Carlos Lucena da Silva","sequence":"additional","affiliation":[{"name":"Department of Medicine, Mato Grosso State University, C\u00e1ceres, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Davi","family":"Jorge Fontoura Solla","sequence":"additional","affiliation":[{"name":"Department of Neurology\u2013Division of Neurosurgery, University of S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brazil."},{"name":"NIHR Global Health Research Group on Neurotrauma, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Eryanne","family":"Garcia Marques","sequence":"additional","affiliation":[{"name":"Department of Medicine, Mato Grosso State University, C\u00e1ceres, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wellithon","family":"Luz Oliveira Junior","sequence":"additional","affiliation":[{"name":"Department of Medicine, Mato Grosso State University, C\u00e1ceres, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Caroline","family":"Ferreira Fagundes","sequence":"additional","affiliation":[{"name":"Department of Medicine, Mato Grosso State University, C\u00e1ceres, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manoel","family":"Jacobsen Teixeira","sequence":"additional","affiliation":[{"name":"Department of Neurology\u2013Division of Neurosurgery, University of S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Robson","family":"Luis Oliveira de Amorim","sequence":"additional","affiliation":[{"name":"Department of Neurology\u2013Division of Neurosurgery, University of S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brazil."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andres","family":"M. Rubiano","sequence":"additional","affiliation":[{"name":"Department of Neurosurgery\u2013Neuroscience Institute, Neurotrauma Group, El Bosque University, Bogot\u00e1, Colombia."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Angelos","family":"G. Kolias","sequence":"additional","affiliation":[{"name":"NIHR Global Health Research Group on Neurotrauma, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom."},{"name":"Department of Clinical Neuroscience\u2013Division of Neurosurgery, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wellingson","family":"Silva Paiva","sequence":"additional","affiliation":[{"name":"Department of Neurology\u2013Division of Neurosurgery, University of S\u00e3o Paulo, S\u00e3o Paulo, S\u00e3o Paulo, Brazil."},{"name":"NIHR Global Health Research Group on Neurotrauma, Addenbrooke's Hospital, University of Cambridge, Cambridge, United Kingdom."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2022,4,14]]},"reference":[{"key":"e_1_3_5_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.wneu.2017.02.072"},{"key":"e_1_3_5_3_2","first-page":"87","article-title":"Analysis of anatomical lesions and epidemiological study in violent deaths caused by traumatic brain injury","author":"Souza M.R.","year":"2019","unstructured":"Souza M.R., de, Fagundes C.F., , Sobrinho O.P., , da C., , Ribeiro D.G., , Muniz J.P.C., , Campos L.A.S., , Araujo M.F., , Padilha A.H., , Alves F, . de O., , Baschirotto V.P., , Silva O.S.A., , and Cort\u00eas M.A. (2019). 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